Technical deep-dives on architecture patterns, event sourcing, and building reliable systems.
Understand the pitfall of I/O saturation symptom caused by insanely simple queries in ClickHouse and StarRocks. Learn the best practice of physical data modeling and query shape for decent QPS analytical workloads.
Understand the 'heatmap' of Snowflake costs and how to focus on the most impactful areas (compute/warehouse allocation, highly-skewed workload, SQL craftsmanship, migration to other engines, operational intelligence) with effective mitigations.
A practical guide to Command Query Responsibility Segregation (CQRS) and how it complements event sourcing for scalable systems.
Practical patterns for building distributed systems that gracefully handle failures, from retries to circuit breakers to saga patterns.
Learn the fundamentals of event sourcing architecture and understand when and why you should consider it for your applications.